Scientific Core

《科学核心摘要》 科学核心的首要目标是提高科学影响力、创新能力和生产力 霍普金斯人口中心(HPC)同事的研究通过促进现有研究的扩展， 启动新的研究方向，跨HPC主要研究领域(PRA)的交叉受精， 成功地获得有竞争力的外部资金，并出版有影响力的出版物。高性能混凝土 导演郝凌新博士也是科学核心的导演。西普里安·克雷尼查努博士是该方法的负责人，而西普里安·克雷尼查努博士是该方法的负责人。 李庆峰是数据领头羊。科学核心包括一名兼职技术人员和一名研究生RA。这个 Science Core提供三种类型的服务：方法、数据和计算。具体地说，这些方法 支持促进采用先进方法，以提高人口动态研究的严谨性。 三个主题：(1)高级数据分析解决数据科学、人口科学和 健康科学，专注于可穿戴数据、生物标志物和人口规模网络的创新分析 可用于调查或队列研究；(2)先进的人口统计测量和建模方法 加强人口动态研究，重点是先进的人口统计方法，贝叶斯 建模和因果推理；以及(3)21世纪的数据收集方法侧重于创新 数据收集方法，如数字调查方法、长期小组调查、评估和实现 人口代表性，以及定性数据和计量经济学的创新结合。《科学》 CORE通过方法学咨询为开发新项目和分析提供方法支持 由方法改进基金(MIF)计划和非正规教育计划支持的数据。 数据支持包括及时获取和管理新的人口统计事件和 不断变化的人口进程，包括新冠肺炎大流行。计算支持保持着一种“冷淡” 供机密数据使用的“空间”，以及具有大容量内存和庞大工作空间的服务器。《科学》 CORE与开发核心和管理核心一起，提供早期职业生涯的协调培育 让他们走上独立的快车道。P2C资金将使科学核心能够提供 为HPC Associates提供有针对性的高效服务，并通过 与发展核心和行政核心的协同作用，将HPC Associates的方法需求联系起来 拥有约翰·霍普金斯大学(JHU)内外的方法学专业知识，并利用资源 JHU的数据科学部门。

Scientific Core Abstract The primary goal of the Scientific Core is to enhance the scientific impact, innovation, and productivity of Hopkins Population Center (HPC) Associates’ research by facilitating the expansion of existing research, initiation of new research directions, cross-fertilization across HPC Primary Research Areas (PRAs), successful attainment of competitive external funding, and production of influential publications. The HPC Director, Dr. Lingxin Hao, also directs the Scientific Core. Dr. Ciprian Crainiceanu is the Methods Lead, and Dr. Qingfeng Li is the Data Lead. The Scientific core includes a part-time technical staff and a graduate RA. The Scientific Core provides three types of services: Methods, Data, and Computing. Specifically, the Methods Support facilitates the adoption of advanced methods to enhance the rigor of population dynamics research in three topics: (1) Advanced Data Analytics address the fusion between data science, population science, and health science, focusing on innovative analytics of wearable data, biomarkers, and population-scale networks available in surveys or cohort studies; (2) Advanced Demographic Measurement and Modeling methods enhance population dynamics research, focusing on advanced demographic measurement, Bayesian modeling, and causal inferences; and (3) Data Collection Methods in the 21st Century focuses on innovative data collection methods such as digital survey methods, long-term panel surveys, assessing and achieving population representativeness, and innovative combination of qualitative data and econometrics. The Scientific Core provides Methods Support via Methodological Consultation for developing new projects and analyzing data supported by a Methodological Improvement Fund (MIF) program and Informal Educational Programs. The Data Support includes timely data acquisition and management for new demographic events and changing population processes, including the COVID-19 pandemic. The Computing Support maintains a “Cold Room” for confidential data use and a server with a large memory and voluminous workspace. The Scientific Core, jointly with the Development Core and Administrative Core, provides concerted nurturing of Early-Career Associates to put them on fast track to independence. The P2C funding will allow the Scientific Core to provide targeted, efficient services to HPC Associates and maximize the HPC’s scientific output through a close synergy with the Development Core and Administrative Core, linking HPC Associates’ methodological needs with methodological expertise within and beyond Johns Hopkins University (JHU) and leveraging the resources of JHU’s data science units.